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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,457 datasets
A mixed-methods study from the Tanguar Haor region of Bangladesh analyzes factors influencing secondary education outcomes. Quantitative data from 189 students across 10 schools and qualitative insights from 20 teachers and guardians were collected by Md. Ismail Hossain. The dataset was last updated on May 11, 2026.
Spatial Services provides a geospatial dataset of Technical and Further Education (TAFE) facilities in New South Wales, Australia. The data is part of the Features of Interest category within the state's Foundation Spatial Data Framework. It was updated to the GDA2020 geodetic standard in September 2021 to improve positional accuracy and compatibility.
An interactive, fully illustrated guide for identifying major zooplankton species in southeastern Australian waters. The tool is a collaboration between the University of Tasmania's Marine Research Laboratories and School of Zoology and the Australian Antarctic Division. The full contents are also available on a free CD-ROM.
Ecuador-based research instruments from a 2024 study at Universidad Técnica del Norte. It includes a validated 18-item structured observation checklist applied pre- and post-intervention to 50 children aged 4–6, and a 10-item teacher perception survey given to 5 educators. The dataset is authored by Carla Alexandra Yandún-Cartagena.
195 university students from Botswana, Brazil, Canada, Indonesia, and South Korea judged the ethics of using generative AI in programming assignments. Their responses to eight scenario-based survey questions show systematic cross-country variation in academic integrity expectations. The dataset, authored by Irina Zlotnikova and last updated in May 2026, is available under a CC-BY-4.0 license.
NSW Border Rivers data contains modelled flow data for assessing compliance with long-term average annual extraction limits (LTAAEL). The dataset is produced by the NSW Department of Climate Change, Energy, the Environment and Water using models configured to represent water sharing plan rules. Outcomes are published annually on the department's website.
Long-term average annual extraction limit (LTAAEL) data for New South Wales river systems, published by the NSW Department of Climate Change, Energy, the Environment and Water. The dataset contains modelled flow data at several gauges, generated annually to assess compliance with water sharing plans. It was last updated on 2026-05-13.
Modelled flow data for gauges in New South Wales river systems, used to assess compliance with sustainable water extraction limits. The dataset is produced annually by the NSW Department of Climate Change, Energy, the Environment and Water using extended hydrological models. Outcomes are published on the DPE website, with the record last updated in May 2026.
Survey data from 191 third-year undergraduate nursing and midwifery students enrolled in a pediatric nursing course, collected by Majeda M. El-Banna. The data compares simulation-integrated clinical training with traditional hospital training, measuring academic performance, satisfaction, self-confidence, and anxiety. The dataset was last updated on May 7, 2026.
Long-term average annual extraction limits (LTAAEL) are regulatory caps designed to ensure sustainable water use in New South Wales river systems. The NSW Department of Climate Change, Energy, the Environment and Water provides this dataset containing flows at several gauges, simulated by an annually extended LTAAEL model configured to represent water sharing plan rules. These modeled flows can be compared with outputs from other key scenario models like the annual permitted take (APT) or without development (WOD) models.
313 adult survey responses collected online between April and July 2021 provide data on psychological inflexibility, resilience dimensions, and anxiety symptoms. The dataset was used to apply Random Forest and robust mediation models, revealing direct and indirect associations between these psychological constructs. Authored by Ana Ferreira Mostardinha and shared under a CC-BY-4.0 license, the findings suggest intervention targets for anxiety-related symptoms.
1,183 human fetal lung ultrasound images were analyzed alongside rat model data including ultrasound, histopathology, and molecular profiles. The dataset was created by Yanran Du and last updated on 2026-05-18. It supports a multimodal deep learning framework for assessing fetal lung development in high-risk pregnancies.
Modelled data for assessing compliance with Long-Term Average Annual Extraction Limits (LTAAEL) in the Murrumbidgee river system. The NSW Department of Climate Change, Energy, the Environment and Water produces this data annually using configured water models to represent water sharing plan rules. The dataset contains simulated flows at several gauges for comparison with other scenario models like the Annual Permitted Take model.
Long-term average annual extraction limits (LTAAEL) are regulatory caps designed to ensure sustainable water use and prevent environmental degradation in river systems. The NSW Department of Climate Change, Energy, the Environment and Water publishes this dataset containing simulated flows at several gauges, generated by an annually extended LTAAEL model configured to represent water sharing plan rules. These modelled flows, last updated in May 2026, can be compared with outputs from other key scenario models like the annual permitted take (APT) or without development (WOD) models.
Eleven studies from China, Iran, the USA, and other countries were included in this scoping review. The document synthesizes educational strategies for enhancing medical students' competency in laboratory medicine practice, covering the period from 2015 to 2025. Author Yonggang Yang published this review under a CC-BY-4.0 license on figshare in 2026.
Eleven studies from 2015 to 2025 were reviewed to map educational strategies for enhancing medical students' competency in laboratory medicine. The review, conducted by Yonggang Yang and following PRISMA-ScR guidelines, synthesized strategies from studies primarily in China, Iran, and the USA. It identifies three main themes: structured clinical integration, technology-enhanced simulation, and collaborative workplace learning.
A scoping review synthesizing educational strategies from 11 studies published between 2015 and 2025. The review, conducted by Yonggang Yang, maps instructional methods for enhancing medical students' competency in laboratory medicine practice. It identifies strategies like structured clinical integration, technology-enhanced simulation, and collaborative learning.
Eleven studies from 2015 to 2025 were included in this scoping review, primarily from China, Iran, and the USA. Yonggang Yang authored this review, which maps educational strategies for enhancing medical students' competency in laboratory medicine. The findings highlight gaps in study design and competency coverage, offering directions for future research.
A scoping review of 11 studies from 2015 to 2025, primarily from China, Iran, and the USA, synthesizing educational strategies for enhancing medical students' competency in laboratory medicine. The review was conducted by Yonggang Yang following the Arksey and O'Malley framework and PRISMA-ScR guidelines. It maps strategies into three themes: structured integration, technology-enhanced simulation, and collaborative workplace engagement.
Eleven studies from 2015 to 2025 map educational strategies for improving medical students' competency in laboratory medicine, a field supporting 70% of clinical decisions. The review, conducted by Yonggang Yang and published on figshare in 2026, synthesizes strategies from China, Iran, the USA, and other countries. It identifies three main themes: structured clinical integration, technology-enhanced simulation, and collaborative workplace learning.